基于改进神经网络算法的植物叶片图像识别研究 下载: 616次
[1] 李萍, 张波, 张善文. 基于叶片图像处理和稀疏表示的植物识别方法[J]. 江苏农业科学, 2016, 44(9): 364-367.
[2] Fan Z, Xu Y, Zhang D. Local linear discriminant analysis framework using sample neighbors[J]. IEEE Transactions on Neural Networks, 2011, 22(7): 1119-1132.
[3] He Z Z, Wei L, Shao M H, et al. Detection of micro solder balls using active thermography and probabilistic neural network[J]. Infrared Physics & Technology, 2017, 81: 236-241.
[4] Kobayashi M. Uniqueness theorem for quaternionic neural networks[J]. Signal Processing, 2017, 136: 102-106.
[5] Liu J H, Ma Y J, Zhang H G, et al. A modified fuzzy min-max neural network for data clustering and its application on pipeline internal inspection data[J]. Neurocomputing, 2017, 238: 56-66.
[6] 张善文, 孔韦韦, 王震. 基于稀疏表示字典学习的植物分类方法[J]. 浙江农业学报, 2017, 29(2): 338-344.
Zhang Shanwen, Kong Weiwei, Wang Zhen. Plant classification method based on dictionary learning with sparse representation[J]. Acta Agriculturae Zhejiangensis, 2017, 29(2): 338-344.
[7] 曲富丽. 混沌理论和改进神经网络的居民消费价格指数预测[J]. 内蒙古师范大学学报(自然科学汉文版), 2015, 44(4): 457-461.
Qu Fuli. Prediction of the consumer price index based on chaos theory and improved neural network[J]. Journal of Inner Mongolia Normal University (Natural Science Edition), 2015, 44(4): 457-461.
[8] 丁健, 刘江, 刘韵洁. 一种面向多拓扑类型请求的虚拟网络映射算法[J]. 北京邮电大学学报, 2015, 38(3): 88-93.
Ding Jian, Liu Jiang, Liu Yunjie. Virtual network embedding for multi-topology virtual network request[J]. Journal of Beijing University of Posts and Telecommunications, 2015, 38(3): 88-93.
[9] 樊富有, 杨国武, 乐千桤, 等. 基于量子遗传算法的无线视频传感网络优化覆盖算法[J]. 通信学报, 2015, 36(6): 2015152.
Fan Fuyou, Yang Guowu, Le Qianqi, et al. Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm[J]. Journal on Communications, 2015, 36(6): 2015152.
[10] 刘立群, 王联国, 韩俊英, 等. 基于全局共享因子的混合蛙跳算法[J]. 计算机工程, 2013, 39(10): 162-166.
Liu Liqun, Wang Lianguo, Han Junying,et al. Shuffled frog leaping algorithm based on global sharing factor[J]. Computer Engineering, 2013, 39(10): 162-166.
[11] 陈志明. 基于多阶环形结构量子算法的图像纹理检测研究[J]. 激光与光电子学进展, 2016, 53(11): 111101.
[12] 恩德, 忽胜强. 基于集成神经网络的植物叶片识别方法[J]. 浙江农业学报, 2015, 27(12): 2225-2233.
En De, Hu Shengqiang. Plant leaf recognition based on artificial neural network ensemble[J]. Acta Agriculturae Zhejiangensis, 2015, 27(12): 2225-2233.
[13] 夏轩, 许伟明. 改进的粒子群算法对RBF神经网络的优化[J]. 计算机工程与应用, 2012, 48(5): 37-40.
Xia Xuan, Xu Weiming. Improved particle swarm optimization on RBF neural networks[J]. Computer Engineering and Applications, 2012, 48(5): 37-40.
[14] 曾爱林. 基于改进神经网络的图像生物特征识别方法[J]. 科技通报, 2015, 31(2): 224-226.
Zeng Ailin. Image biometric identification method based on improved neural network[J]. Bulletin of Science and Technology, 2015, 31 (2): 224-226.
毕立恒, 刘云潺. 基于改进神经网络算法的植物叶片图像识别研究[J]. 激光与光电子学进展, 2017, 54(12): 121102. Bi Liheng, Liu Yunchan. Plant Leaf Image Recognition Based on Improved Neural Network Algorithm[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121102.